模糊度函數 的英文怎麼說

中文拼音 [móhúdùhánshǔ]
模糊度函數 英文
ambiguity function
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 糊 : 糊名詞（樣子像粥的食物） paste
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 模糊 : 1 （不清楚） dim; vague; indistinct; obscure; fuzzy; blurred 2 （混淆） blur; obscure; confuse; m...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. By whitening the covariance matrix of flat ambiguity, correlation between ambiguity components, the number of local extrema of cost function is reduced. the search program getting into precocity is avoided by suitable encoding and genetic operation

    通過白化處理模糊度，減少模糊度搜索中指標函數的局部極值點，採用適當的編碼和遺傳操作使得在種群個體較少的情況下避免搜索陷入早熟。
  2. On the basis of essential nonlinear characteristics in municipal wastewater biology treatment process, control strategy of fuzzy self - revised method based on neutral network is adopted and some different degree of membership functions which will influence on control error are compared in order to improve control prevision

    摘要針對城市污水生物處理過程存在的本質的非線性特性，採用了基於神經網路的模糊自校正方法的控制策略，同時為了提高控制的精度，比較了各種不同的隸屬度函數對控制誤差的影響。
  3. Wideband ambiguity function ( waf ) is the powerful tool to analyze the wideband signal, and it is also coherent to cwt

    寬帶模糊度函數是寬帶信號分析的有力工具，它與連續小波變換也是內在一致的。
  4. The basic theory of wideband signal processing is discussed and presented. the coherence among cwt, wcp and waf is pointed out emphatically

    論述了寬帶信號處理的基本理論，指明了連續小波變換與寬帶相關處理、寬帶模糊度函數的一致性。
  5. And the resemblance is pointed out between continuous wavelet transform ( cwt ) and waf. in the course of computing waf, the scaling replica is very important. based on the properties of cwt, three approaches have been proposed for the scaling of a wavelet that has no analytic form

    詳細闡述了寬帶信號及系統的三個條件、寬帶系統的回波模型和寬帶模糊度函數的概念，指出了連續小波變換（ cwt ）與寬帶模糊度函數的驚人相似之處。
  6. The software matlab is used to calculate the fuzzy system, the fuzzy system divide the voltage - reactive pane into nine fuzzy zone, in this way the domain - swing between closing domain is eliminated

    該模糊推理系統的隸屬度函數採用三角形隸屬度函數，模糊推理採用mamdani型推理，非模糊化採用的是重心法，在設計時使用matlab為輔助進行離線計算。
  7. The effect of the profile of membership function and the defuzzification algorithm on the capacity of fuzzy controller is studied systematical, and a practical self - adaptive fuzzy controller is designed

    研究了隸屬度函數及解模糊演算法對模糊控制器性能的影響，設計了實用的自適應模糊控制器。
  8. A soft sensor modeling algorithm based on improved fuzzy neural network is presented. the normalized average output membership functions are defined as fuzzy basis functions for defuzzification calculation. in order to improve the property of convergence, some parameters of the fuzzy neural network are trained by levenberg - marquardt algorithm, and the others are trained by gradient descent algorithm

    提出了一種改進的模糊神經網路軟測量建模方法，採用規則化的平均輸出隸屬度函數作為模糊基函數進行反模糊化運算；在訓練網路時，部分參數採用levenberg - marquardt演算法來訓練，另一部分採用一階梯度下降法。
  9. It is applicable to various structural distribution networks. while resolving the " large area restoration ", the genetic algorithm execute three same and simple genetic operators : selection, crossing and mutating. it make a self - adaptable and probability overall searching under the leading of fitness value in the whole searching scale until acquiring the best result

    在求解網路故障后重構問題時，互動式模糊遺傳演算法通過循環執行相同的、極其簡單的選擇、雜交和變異三種遺傳操作，並在適應度函數值的引導下在搜索空間進行自適應概率性全局搜索，直至獲得全局最優解。
  10. Neural - fuzzy control driver ? model is made based on fuzzy logic and neural networks. fuzzy mapping of the control rule and triangular membership functions is carried out with bp ( back propagation ) neural networks

    基於模糊神經網路理論，建立了模糊神經駕駛員控制模型，用bp網路實現了控制規則、隸屬度函數的模糊映射。
  11. In order to improve the reasoning algorithm in multiple value causality diagram, which could not deal with the fuzzy case, a fuzzy reasoning algorithm was presented. it extended the definition of the multiple value causality diagram with fuzzy. the fuzzy mapping relation between every event variable and every reader variable was made

    該演算法對多值因果圖進行了模糊擴展定義，使每個基本事件或節點事件變量對應一個能夠連續取值的讀數變量，在讀數變量和事件變量之間建立模糊對應關系，用讀數變量的取值相對於事件變量各狀態的隸屬度函數來表達模糊知識。
  12. A method of fuzzy optimization design based on genetic algorithm is presented as a new method of parameter optimization design for dc double closed loop speed adjusting system. the method covers three steps. firstly, speed overshoot rate and settling time are chosen as performance indice according to the demand of engineering. these indice are normalized by using fuzzy membership function and then weighted to form objective function of optimization model of the system. secondly, the dynamic response curve of the system with corresponding parameters and peoformance indice are obtained by computerized numerical calculation and simulation. finally, parameters of engineering design are expanded as searching space ; and parameters of speed regulator and current regulator are taken as genes in chromosome. these genes in searching space are optimized to get best solution by way of genetic algorithm. as shown by experimental results, the parameters designed by this method are capable of significantly improving performance indice of the system, which proves that it is a practical and effective method

    提出一種基於遺傳演算法的直流雙閉環調速系統參數優化設計方法.根據工程技術的要求，選用速度超調量和過渡時間作為參數優化性能指標.將該指標用模糊隸屬度函數歸一化，再加權平均形成系統優化模型的目標函數.採用計算機數值計算方法，通過模擬獲得系統對應參數的動態響應曲線及其性能指標.最後以工程設計的參數為搜索范圍，以速度調節器和電流調節器的參數為染色體中的基因，通過遺傳演算法在搜索范圍中優化這些基因，獲得優化解.實驗結果表明，所設計的參數能使系統性能指標有顯著提高
  13. An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages

    針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。
  14. In connection with the difference and distribution characteristic of the samples in sample space rs based on dga, a new self - adapted weight fuzzy omean clustering model of fault diagnosis of the power transformer based on the potential function is proposed. meanwhile, from the aspect of geometry characteristic of fc - divided in s dimension sample space, a method is proposed for the purpose of getting an effective adjacent radius, adaptive cluster number c and original cluster center of x sample set. for the diagnosis sample x, the property measure and diagnosis rule are proposed, which under the condition of potential density function that determine c number of optimal fuzzy cluster p1

    根據以變壓器dga數據為特徵量的樣本空間各樣本差異特性以及樣本在空間r ~ s的分佈特性，首次提出了基於勢函數自適應加權的變壓器絕緣故障診斷的模糊c -均值聚類模型；同時，從s維樣本空間的f ~ c -劃分幾何特性出發，提出了一種求取樣本集的類勢有效鄰域半徑和自適應求取聚類數和聚類中心初值的方法；對一個待診斷樣本，設計了基於類勢密度函數意義下的屬性測度和診斷準則。
  15. Based on the features of ambiguity function of lfm signal, a new adaptive kernel is given

    然後，基於線性調頻信號模糊度函數特徵，提出了一種新的自適應核函數。
  16. Two kinds of typical wideband signal, frequency modulation ( fm ) signal and frequency spread signal, is analyzed qualitatively with wideband ambiguity function

    以寬帶模糊度函數為工具定性地分析了兩類典型寬帶信號，即調頻信號和頻率分集信號。
  17. Using the non - sensitive characteristic of ambiguity function method ( afm ) regarding cycle slips, it is sufficiently exerted the characteristic of genetic algorithms which are optimization for ambiguity solution on - the - fly. 5

    利用模糊度函數法對于周跳不敏感的特點，充分發揮遺傳演算法的優化搜索特點，以實現對載波相位整周模糊度的在航解算。
  18. 7. based on the comparison with dual band gps phase and c / acode, ambiguity function method, least squares search, ambiguity solution covariance, cholesky disintegrate and least square ambiguity decorrelation adjustment, it is considered the method of ambiguity function using double gps antennas to move baseline and the equation of dual differential carrier phase

    在分析雙頻p碼偽距法、模糊度函數法、最小二乘搜索法、模糊度協方差法、 cholesky分解法、和lambda演算法的基礎上，重點研究基於雙gps天線動一動基線載波相位雙差整周模糊度確定方法。
  19. After analyzing the existing ambiguity resolution methods the dissertation investigates the baseline rotation method based on the antenna - swap idea, and develops the fixed axis rotation maximum - minimum method ? farmm and the equivalent rotation maximum - minimum method ? ermm applicable for static basement and moving vehicle respectively. the former lowers the demands on rotation device while the latter improves the flexibility of antennae installation. meanwhile the dissertation also brings forward an ambiguity function search method which needs only one single epoch data with the outer aided information, and investigates the accuracy requirements for the assistant pointing information

    其次，通過與gps等多星系統定向關鍵技術的對比分析，指出雙星定向模糊度確定的難度;在分析現有模糊度求解方法的基礎之上，研究了基於交換天線思想的轉動基線模糊度確定方法，並提出了適合於靜基座的定軸轉動極大/極小值farmm法，以及適合於地面運動載體的等效轉動極大/極小值ermm法，前者降低了對轉動機構的要求，後者則提高了天線安裝的靈活性;同時，提出了一種藉助外部輔助信息的模糊度函數搜索法實現單歷元雙星定向，並分析了對外部輔助單軸姿態信息的精度要求。
  20. By analyzing expression between a and fuzzy entropy from the view of analytics, this paper analyses the relationship of between a and fuzzy entropy and the changing trend of fuzzy entropy function with the increase of a, then discusses the sensitivity of the parameter a to classification result such as total nodes, rule number, classification accuracy of fuzzy decision tree, proposes an experimental method of obtaining optimal a, it is proved by experiment that the optimal value a obtained by this method can make the classification result of fuzzy decision tree best, and therefore provides the academic evidence of selecting parameter a in order to gain the best classification result

    本文在visualc + +軟體開發平臺及模糊id3演算法的基礎上，從解析的角度出發，通過分析參數與模糊熵之間的函數關系式，討論了隨著的增加，模糊熵函數的變化趨勢，進一步分析了參數對模糊決策樹的分類結果在訓練準確率、測試準確率、規則數等方面所表現出的敏感性，探討了得到最優參數的實驗方法。實驗證明，利用這一方法得到的最優參數的值，可以使模糊決策樹的分類結果達到最好的效果，從而為人們用模糊決策樹進行分類時選取參數以獲得最優的分類結果，提供了良好的理論依據。
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